Work Location:

Montréal, Quebec, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

65,600 - 136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview:

The Data Science team consists of professional roles that provide consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning; it leverages and interprets data and analytical product to provide business specific or broad strategic insight by using a variety of analytics techniques and audience-specific communication skills. This area can also focus on gathering, analyzing and modeling all kinds of data to develop business insights or analytics solutions and generally involves the use of broad range of statistical and/or mathematical models/techniques and tools.

Job Description

We will be offering a variety of roles from junior to senior level. The individuals are principally responsible for supporting specifically assigned data & analytics projects and often provide on-going analytical sights for specific business domains.

The roles may consist of (but not limited to) one or more of the following key areas:

• Use a wide range of programing languages (e.g. Python) and data science techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data or build analytics solutions to answer impactful business questions and guide business decisions.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains on-going benefit to the business.
• Identifies new analytical trends / data needs to improve repeatable analytic solutions.
• Interdisciplinary field focused on processes and systems to extract knowledge or insights from data of various forms either structured or unstructured techniques.
• Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics that may be applied across a variety of products, services, business lines, or segments.
• Educate the organization on data science approaches, such as experimental test & learn, testing hypotheses and statistical validation of result.
• Enhance business strategies by leveraging analytics and insights to foster strategic thinking, guiding the organization towards informed decisions and sustainable growth.
• Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
• Translate up to date information into continuous improvement activities that enhance performance
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.

Job Requirements:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience.
• Experience using statistical computer languages (Python, SQL, Spark) to manipulate data and draw insights from large and complex datasets
• Experience with distributed data/computing tools such as Hadoop, Hive, Impala

Junior - Past relevant work experience is a plus

Intermediate - 3+ years relevant work experience

Senior - 5+ years relevant work experience

Considered a Plus:

• Experience in project development workflow tools such as JIRA, Confluence and BitBucket
• Experience with Web Analytics tools such as Adobe Analytics or Google Analytics
• Knowledge in leveraging cloud services (e.g. AWS, Azure) in deploying analytics solutions
• Demonstrated knowledge in some of the following areas:
  • Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
  • Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
  • Data visualization and storytelling in Tableau
  • Operational process excellence

Additional Information:

• For intermediate and senior level, higher degree education and research tenure can be counted.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we're committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

*Remarque: Étant donné que cet affichage concerne de futurs postes vacants et qu'il servira à pourvoir de nombreux postes aux exigences comparables à l'avenir, nous invitons les candidats bilingues et francophones à poser leur candidature. Lorsqu'un poste sera à pourvoir, une évaluation des besoins en matière de langue sera effectuée pour déterminer si la connaissance d'une autre langue que le français est exigée.